Country stats

100%

✓ Published0🌍 Public

Last edited Nov 17, 2020

Created on Nov 17, 2020

This scatterplot shows the relationship between GDP per capita and birth rate for countries around the world, with each circle representing a country. The visualization uses D3 v5's `scaleLinear`, `axisBottom`, `axisLeft`, and `csv` loading functions to map the data from the provided CSV file onto an SVG canvas. The chart includes labeled axes and a title, with circles positioned according to each country's metrics.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

New_Scatter_Plot

This scatter plot displays the relationship between GDP per capita and population for countries, using World Bank data. The visualization uses red, semi-transparent circles to represent each country, with axes showing population in millions and GDP per capita in thousands. Built with D3 v7, the code applies `scaleLinear` for both axes, `axisLeft` and `axisBottom` for tick marks, and renders the plot as SVG. The chart includes gridlines, axis labels, and a title, with data loaded via `csv` from a GitHub-hosted dataset.

Mmartin

82% match

Loading thumbnail…

Drawing a Scatterplot

This scatterplot shows the relationship between GDP per capita and CO2 emissions per capita for countries in 1995, with circle size encoding population. It uses d3.csv to load World Bank data and d3.scalePow and d3.scaleSqrt to map values. The SVG visualization includes clickable country nodes, each with a labeled circle, and displays axes with tick marks created using d3.axisBottom and d3.axisLeft.

ZZhengyan Yu

81% match

Loading thumbnail…

Basic Scatter Plot

This scatter plot shows the relationship between GDP per capita and year for seven selected countries—China, the United States, India, Japan, Russia, Brazil, and France—between 1990 and 2014. Each circle represents a country-year observation, colored by country, with axis labels and a color legend. The visualization uses D3 v4’s scaleLinear, axisBottom, axisLeft, and legendColor APIs, rendering SVG circles. Data comes from Our World in Data, filtered from a CSV file containing internet usage, GDP, and population metrics.

QQ-Zhao

81% match

Loading thumbnail…

Countries Scatter plot

A scatter plot displays the relationship between fertility rate and urban population for 50 countries, with each circle representing a nation. The chart uses D3.js to create a linear x-scale for fertility rate and a reversed linear y-scale for urban population percentage. Grid lines extend from both axes, and axis labels clarify the variables. Data comes from a CSV file parsed with `d3.csv`, while the visualization is rendered as an SVG with circles styled in semi-transparent purple.

Aarieltonglet

80% match

Loading thumbnail…

Gist 53ab412b2be670388711

This example visualizes data from a CSV file containing country statistics, including metrics like population, birth rate, and electricity consumption. It uses D3.js to render a scatter plot, positioning countries based on their birth rate and death rate, with the size of each circle representing population. The axes include a linear scale for birth rate and death rate, and the visualization includes interactive features like hover tooltips and zooming. Data is parsed from the CSV using `d3.csv` and scales are defined with `d3.scaleLinear` and `d3.scaleSqrt`.

LLTymn

80% match

Loading thumbnail…

Global Data Scatter Plot

This scatter plot visualizes the relationship between GDP per capita and average life expectancy across countries, using circles colored by region from a Global Data dataset. Users can hover over the legend to highlight matching data points or click to toggle entire regions’ visibility, with opacity changes facilitating comparison. The visualization leverages d3.scaleOrdinal for color mapping, d3.scaleLinear for axes, and custom d3 axis-label helpers from @curran/axis-labels, rendering SVG circles with region-based classes.

Nnitinramagiri1@gmail.com

79% match

Loading thumbnail…

Activity6_q3

This scatterplot shows the relationship between GDP per capita and life expectancy for seven countries, with each circle colored by country. The visualization uses D3.js v7 to load a local CSV file, scale the data linearly on both axes, and render circles as SVG elements. Axes are drawn using d3.axisBottom and d3.axisLeft, with labels for both variables. The d3.scaleOrdinal with schemeCategory10 assigns distinct colors to each nation, making it easy to compare economic output against health outcomes across the sample.

Vvidyagangasani@my.unt.edu

79% match

Loading thumbnail…

4-Bubble_chart

This bubble chart visualizes the correlation between birthrate, life expectancy, and GDP across fourteen countries, using a D3.js SVG rendering with animated transitions. GDP scales bubble radius, while life expectancy and birthrate map to the x- and y-axes, with colors assigned via a turbo color scale. A tooltip displays each country’s name on hover, and a legend shows GDP values and country color keys. The chart uses D3’s CSV loader and linear scales, with data from the included CSV file.

JJagadeshwar Reddy. Chilakamarri

79% match